Forecasting elevator passenger traffic
AssigneeKone Corporation
InventorsJuha-Matti Kuusinen, Marja-Liisa Siikonen, Juho Kokkala
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Abstract
According to an aspect, there is provided a method for forecasting elevator passenger traffic of an elevator group. The method comprises training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts, obtaining timestamped origin-destination passenger counts for a current cycle, generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle, and outputting the elevator passenger traffic forecast for use by an elevator group control.
Claims14
A method for forecasting elevator passenger traffic of an elevator group, the method comprising:
- training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts;
- obtaining timestamped origin-destination passenger counts for a current cycle;
- filtering the origin-destination passenger counts for the current cycle using a Bayesian filtering algorithm;
- generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle;
- and
- outputting the elevator passenger traffic forecast for use by an elevator group control.
An apparatus for forecasting elevator passenger traffic of an elevator group, the apparatus comprising:
- means for training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts;
- means for obtaining timestamped origin-destination passenger counts for a current cycle;
- means for filtering the origin-destination passenger counts for the current cycle using a Bayesian filtering algorithm;
- means for generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle;
- and
- means for outputting the elevator passenger traffic forecast for use by an elevator group control.
An elevator group control system comprising:
- means for training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts;
- means for obtaining timestamped origin-destination passenger counts for a current cycle;
- means for filtering the origin-destination passenger counts for the current cycle using a Bayesian filtering algorithm;
- means for generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle;
- and
- means for outputting the elevator passenger traffic forecast for use by an elevator group control.
A non-transitory computer readable medium having stored there on a computer program comprising program code, which when executed by at least one processing unit, causes the at least one processing unit to perform processes for
- training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts;
- obtaining timestamped origin-destination passenger counts for a current cycle;
- filtering the origin-destination passenger counts for the current cycle using a Bayesian filtering algorithm;
- generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle;
- and
- outputting the elevator passenger traffic forecast for use by an elevator group control.
Dependencies are inferred from the claim text.